Shaashwat Agrawal

553 total citations · 1 hit paper
6 papers, 335 citations indexed

About

Shaashwat Agrawal is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Shaashwat Agrawal has authored 6 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Shaashwat Agrawal's work include Privacy-Preserving Technologies in Data (4 papers), Recommender Systems and Techniques (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Shaashwat Agrawal is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Recommender Systems and Techniques (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Shaashwat Agrawal collaborates with scholars based in India, Australia and South Korea. Shaashwat Agrawal's co-authors include Sagnik Sarkar, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Mamoun Alazab, Gokul Yenduri, Sweta Bhattacharya, Ons Aouedi, Kandaraj Piamrat, Quoc‐Viet Pham and Gautam Srivastava and has published in prestigious journals such as Computer Communications, Applied Intelligence and Computational Intelligence and Neuroscience.

In The Last Decade

Shaashwat Agrawal

6 papers receiving 325 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Federated Learning for intrusion detection system: Concepts, challenges and future directions

2022 223 citations Shaashwat Agrawal, Sagnik Sarkar et al. Computer Communications profile →

Peers

Countries citing papers authored by Shaashwat Agrawal

Since Specialization

Citations

This map shows the geographic impact of Shaashwat Agrawal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shaashwat Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaashwat Agrawal more than expected).

Fields of papers citing papers by Shaashwat Agrawal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaashwat Agrawal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shaashwat Agrawal. The network helps show where Shaashwat Agrawal may publish in the future.

Co-authorship network of co-authors of Shaashwat Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Shaashwat Agrawal. A scholar is included among the top collaborators of Shaashwat Agrawal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaashwat Agrawal. Shaashwat Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Progressive search personalization and privacy protection using federated learning 2023 ·Expert Systems ·Sagnik Sarkar, Shaashwat Agrawal, (unknown), (unknown)	1
2	Catalysis of neural activation functions: Adaptive feed-forward training for big data applications 2022 ·Applied Intelligence ·Sagnik Sarkar, Shaashwat Agrawal, Thar Baker, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu	12
3	Federated Learning for intrusion detection system: Concepts, challenges and future directions breakdown → 2022 ·Computer Communications ·Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Mamoun Alazab, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu	223
4	Genetic CFL: Hyperparameter Optimization in Clustered Federated Learning 2021 ·Computational Intelligence and Neuroscience ·Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc‐Viet Pham	46
5	Temporal Weighted Averaging for Asynchronous Federated Intrusion Detection Systems 2021 ·Computational Intelligence and Neuroscience ·Shaashwat Agrawal, (unknown), Sagnik Sarkar, (unknown), Thippa Reddy Gadekallu	26
6	Genetically optimized prediction of remaining useful life 2021 ·Sustainable Computing Informatics and Systems ·Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu	27

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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